Evidence map›Paper›PMID 36739919›Full record

ArticleInternational journal of radiation oncology, biology, physics2023

Predicting Severity of Radiation Induced Lymphopenia in Individual Proton Therapy Patients for Varying Dose Rate and Fractionation Using Dynamic 4-Dimensional Blood Flow Simulations.

Lucas McCullum, Jungwook Shin, Stella Xing, Chris Beekman, Jan Schuemann, Theodore Hong, Dan Duda, Radhe Mohan, Steven H Lin, Camilo M Correa-Alfonso and 5 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Lucas McCullumDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. Electronic address: lumccul3@gmail.com.
Jungwook ShinRadiation Epidemiology Branch, National Cancer Institute, Rockville, Maryland.
Stella XingDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Chris BeekmanDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Theodore HongDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Dan DudaDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Radhe MohanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Steven H LinDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Camilo M Correa-AlfonsoJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Sean DomalJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Julia WithrowJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Wesley BolchJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Clemens GrassbergerDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Harvard University · USUniversity of Florida · USThe University of Texas MD Anderson Cancer Center · USNational Cancer Institute · US

Funding

Project 3: Enhanced Sensitivity of Tumors to Proton Beam Therapy: Mechanisms and Biomarkers.P01CA261669 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI TITT, UWE · 2021 to 2025
$14.0M
MIRDCalc – A Community Tool for Deriving and Reporting Patient Organ Doses in Nuclear Medicine, Computed Tomography, and Hybrid ImagingU01EB028234 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI BOLCH, WESLEY E, KESNER, ADAM LEON · 2019 to 2023
$3.2M
Developing whole-body computational phantoms for blood dosimetry to model the impact of radiation on the immune systemR01CA248901 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BOLCH, WESLEY E, PAGANETTI, HARALD · 2020 to 2024
$2.4M
A Computational Method to Calculate the Radiation Dose to CirculatingLymphocytesR21CA248118 · NCI · UNIVERSITY OF WASHINGTON · PI GRASSBERGER, CLEMENS · 2020 to 2020
$429k
Dose-Rate Variations for Patient Treatments in Flash and conventional radiation therapyR21CA252562 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI SCHUEMANN, JAN PATRICK OSCAR · 2021 to 2022
$416k
Bio-Physical Modeling of Immuno-Radiotherapy Combinations based on Patient DataR21CA241918 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GRASSBERGER, CLEMENS · 2019 to 2020
$399k
NCI NIH HHS P01 CA261669NCI NIH HHS R01 CA248901NCI NIH HHS R21 CA241918NCI NIH HHS R21 CA248118NCI NIH HHS R21 CA252562NIBIB NIH HHS U01 EB028234
6 · The paper itself

Abstract

purposeRadiation-induced lymphopenia has gained attention recently as the result of its correlation with survival in a range of indications, particularly when combining radiation therapy (RT) with immunotherapy. The purpose of this study is to use a dynamic blood circulation model combined with observed lymphocyte depletion in patients to derive the in vivo radiosensitivity of circulating lymphocytes and study the effect of RT delivery parameters. METHODS AND MATERIALS: We assembled a cohort of 17 patients with hepatocellular carcinoma treated with proton RT alone in 15 fractions (fx) using conventional dose rates (beam-on time [BOT], 120 seconds) for whom weekly absolute lymphocyte counts (ALCs) during RT and follow-up were available. We used HEDOS, a time-dependent, whole-body, blood flow computational framework, in combination with explicit liver blood flow modeling, to calculate the dose volume histograms for circulating lymphocytes for changing BOTs (1 second-300 seconds) and fractionations (5 fx, 15 fx). From this, we used the linear cell survival model and an exponential model to determine patient-specific lymphocyte radiation sensitivity, α, and recovery, σ, respectively.

resultsThe in vivo-derived patient-specific α had a median of 0.65 Gy

conclusionsWe observed that increasing dose rate at the same fractionation reduced ALC depletion more significantly than reducing the number of fractions. High-dose-rates led to an increased sparing of lymphocytes when shortening the fractionation regimen, particularly for patients with radiosensitive lymphocytes at elevated risk.

Indexed as

Liver NeoplasmsLymphopeniaProton TherapyHumansLymphocytesProtonsProtons

Identifiers

PMID36739919
PMCPMC10363211
OpenAlexW4319067344

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.